Overview
Brought to you by YData
Dataset statistics
| Dataset A | Dataset B | |
|---|---|---|
| Number of variables | 12 | 12 |
| Number of observations | 446 | 446 |
| Missing cells | 433 | 437 |
| Missing cells (%) | 8.1% | 8.2% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 45.3 KiB | 45.3 KiB |
| Average record size in memory | 104.0 B | 104.0 B |
Variable types
| Dataset A | Dataset B | |
|---|---|---|
| Numeric | 4 | 5 |
| Categorical | 5 | 4 |
| Text | 3 | 3 |
| Dataset A | Dataset B | |
|---|---|---|
Parch is highly imbalanced (54.4%) | Alert not present in this dataset | Imbalance |
Age has 80 (17.9%) missing values | Age has 84 (18.8%) missing values | Missing |
Cabin has 352 (78.9%) missing values | Cabin has 351 (78.7%) missing values | Missing |
PassengerId has unique values | PassengerId has unique values | Unique |
Name has unique values | Name has unique values | Unique |
SibSp has 308 (69.1%) zeros | SibSp has 309 (69.3%) zeros | Zeros |
Fare has 10 (2.2%) zeros | Fare has 6 (1.3%) zeros | Zeros |
| Alert not present in this dataset | Parch is highly overall correlated with SibSp | High correlation |
| Alert not present in this dataset | Sex is highly overall correlated with Survived | High correlation |
| Alert not present in this dataset | SibSp is highly overall correlated with Parch | High correlation |
| Alert not present in this dataset | Survived is highly overall correlated with Sex | High correlation |
| Alert not present in this dataset | Parch has 340 (76.2%) zeros | Zeros |
Reproduction
| Dataset A | Dataset B | |
|---|---|---|
| Analysis started | 2025-01-20 16:33:55.927681 | 2025-01-20 16:33:57.739080 |
| Analysis finished | 2025-01-20 16:33:57.735851 | 2025-01-20 16:34:00.130132 |
| Duration | 1.81 second | 2.39 seconds |
| Software version | ydata-profiling v0.0.dev0 | ydata-profiling v0.0.dev0 |
| Download configuration | config.json | config.json |
Variables
PassengerId
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 441.37444 | 444.64574 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 3 | 1 |
| Maximum | 891 | 890 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 3 | 1 |
| 5-th percentile | 40.25 | 52.75 |
| Q1 | 213.25 | 210.25 |
| median | 442 | 444 |
| Q3 | 667 | 672.5 |
| 95-th percentile | 854.5 | 840.5 |
| Maximum | 891 | 890 |
| Range | 888 | 889 |
| Interquartile range (IQR) | 453.75 | 462.25 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 261.76081 | 258.91901 |
| Coefficient of variation (CV) | 0.59305837 | 0.58230403 |
| Kurtosis | -1.1978902 | -1.2611845 |
| Mean | 441.37444 | 444.64574 |
| Median Absolute Deviation (MAD) | 227.5 | 231.5 |
| Skewness | 0.032656171 | 0.00099488193 |
| Sum | 196853 | 198312 |
| Variance | 68518.72 | 67039.052 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 62 | 1 | 0.2% |
| 763 | 1 | 0.2% |
| 185 | 1 | 0.2% |
| 875 | 1 | 0.2% |
| 184 | 1 | 0.2% |
| 452 | 1 | 0.2% |
| 35 | 1 | 0.2% |
| 794 | 1 | 0.2% |
| 190 | 1 | 0.2% |
| 793 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 630 | 1 | 0.2% |
| 374 | 1 | 0.2% |
| 139 | 1 | 0.2% |
| 397 | 1 | 0.2% |
| 92 | 1 | 0.2% |
| 605 | 1 | 0.2% |
| 253 | 1 | 0.2% |
| 95 | 1 | 0.2% |
| 788 | 1 | 0.2% |
| 283 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 20 | 1 | |
| 21 | 1 | |
| 22 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 9 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 20 | 1 | |
| 21 | 1 | |
| 22 | 1 |
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 |
Survived
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 0 | |
|---|---|
| 1 |
| 0 | |
|---|---|
| 1 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 1 | 0 |
| 2nd row | 1 | 0 |
| 3rd row | 1 | 0 |
| 4th row | 1 | 0 |
| 5th row | 0 | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 279 | |
| 1 | 167 |
| Value | Count | Frequency (%) |
| 0 | 283 | |
| 1 | 163 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 0 | 279 | |
| 1 | 167 |
| Value | Count | Frequency (%) |
| 0 | 283 | |
| 1 | 163 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 279 | |
| 1 | 167 |
| Value | Count | Frequency (%) |
| 0 | 283 | |
| 1 | 163 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 279 | |
| 1 | 167 |
| Value | Count | Frequency (%) |
| 0 | 283 | |
| 1 | 163 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 279 | |
| 1 | 167 |
| Value | Count | Frequency (%) |
| 0 | 283 | |
| 1 | 163 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 279 | |
| 1 | 167 |
| Value | Count | Frequency (%) |
| 0 | 283 | |
| 1 | 163 |
Pclass
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 3 | |
|---|---|
| 1 | |
| 2 |
| 3 | |
|---|---|
| 1 | |
| 2 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 3 | 1 |
| 2nd row | 3 | 3 |
| 3rd row | 2 | 3 |
| 4th row | 2 | 3 |
| 5th row | 3 | 1 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 109 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 106 | |
| 2 | 92 | 20.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 109 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 106 | |
| 2 | 92 | 20.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 109 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 106 | |
| 2 | 92 | 20.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 109 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 106 | |
| 2 | 92 | 20.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 109 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 106 | |
| 2 | 92 | 20.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 109 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 248 | |
| 1 | 106 | |
| 2 | 92 | 20.6% |
Name
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 61 | 67 |
| Median length | 46 | 46 |
| Mean length | 26.560538 | 26.576233 |
| Min length | 13 | 13 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 446 | 446 ? |
| Unique (%) | 100.0% | 100.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | Barah, Mr. Hanna Assi | Ringhini, Mr. Sante |
| 2nd row | Kink-Heilmann, Miss. Luise Gretchen | Osen, Mr. Olaf Elon |
| 3rd row | Abelson, Mrs. Samuel (Hannah Wizosky) | Olsson, Miss. Elina |
| 4th row | Becker, Master. Richard F | Andreasson, Mr. Paul Edvin |
| 5th row | Hagland, Mr. Ingvald Olai Olsen | Homer, Mr. Harry ("Mr E Haven") |
| Value | Count | Frequency (%) |
| mr | 267 | 14.9% |
| miss | 94 | 5.2% |
| mrs | 55 | 3.1% |
| william | 36 | 2.0% |
| john | 21 | 1.2% |
| henry | 20 | 1.1% |
| master | 20 | 1.1% |
| james | 17 | 0.9% |
| george | 15 | 0.8% |
| charles | 14 | 0.8% |
| Other values (881) | 1233 |
| Value | Count | Frequency (%) |
| mr | 274 | 15.2% |
| miss | 86 | 4.8% |
| mrs | 58 | 3.2% |
| william | 29 | 1.6% |
| john | 22 | 1.2% |
| henry | 20 | 1.1% |
| master | 19 | 1.1% |
| george | 17 | 0.9% |
| thomas | 14 | 0.8% |
| charles | 14 | 0.8% |
| Other values (891) | 1249 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1347 | 11.4% | |
| r | 962 | 8.1% |
| a | 850 | 7.2% |
| e | 814 | 6.9% |
| i | 677 | 5.7% |
| n | 657 | 5.5% |
| s | 642 | 5.4% |
| M | 567 | 4.8% |
| l | 519 | 4.4% |
| o | 496 | 4.2% |
| Other values (50) | 4315 |
| Value | Count | Frequency (%) |
| 1357 | 11.4% | |
| r | 980 | 8.3% |
| e | 814 | 6.9% |
| a | 805 | 6.8% |
| s | 657 | 5.5% |
| n | 647 | 5.5% |
| i | 634 | 5.3% |
| M | 551 | 4.6% |
| l | 527 | 4.4% |
| o | 506 | 4.3% |
| Other values (49) | 4375 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 11846 |
| Value | Count | Frequency (%) |
| (unknown) | 11853 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1347 | 11.4% | |
| r | 962 | 8.1% |
| a | 850 | 7.2% |
| e | 814 | 6.9% |
| i | 677 | 5.7% |
| n | 657 | 5.5% |
| s | 642 | 5.4% |
| M | 567 | 4.8% |
| l | 519 | 4.4% |
| o | 496 | 4.2% |
| Other values (50) | 4315 |
| Value | Count | Frequency (%) |
| 1357 | 11.4% | |
| r | 980 | 8.3% |
| e | 814 | 6.9% |
| a | 805 | 6.8% |
| s | 657 | 5.5% |
| n | 647 | 5.5% |
| i | 634 | 5.3% |
| M | 551 | 4.6% |
| l | 527 | 4.4% |
| o | 506 | 4.3% |
| Other values (49) | 4375 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 11846 |
| Value | Count | Frequency (%) |
| (unknown) | 11853 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1347 | 11.4% | |
| r | 962 | 8.1% |
| a | 850 | 7.2% |
| e | 814 | 6.9% |
| i | 677 | 5.7% |
| n | 657 | 5.5% |
| s | 642 | 5.4% |
| M | 567 | 4.8% |
| l | 519 | 4.4% |
| o | 496 | 4.2% |
| Other values (50) | 4315 |
| Value | Count | Frequency (%) |
| 1357 | 11.4% | |
| r | 980 | 8.3% |
| e | 814 | 6.9% |
| a | 805 | 6.8% |
| s | 657 | 5.5% |
| n | 647 | 5.5% |
| i | 634 | 5.3% |
| M | 551 | 4.6% |
| l | 527 | 4.4% |
| o | 506 | 4.3% |
| Other values (49) | 4375 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 11846 |
| Value | Count | Frequency (%) |
| (unknown) | 11853 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1347 | 11.4% | |
| r | 962 | 8.1% |
| a | 850 | 7.2% |
| e | 814 | 6.9% |
| i | 677 | 5.7% |
| n | 657 | 5.5% |
| s | 642 | 5.4% |
| M | 567 | 4.8% |
| l | 519 | 4.4% |
| o | 496 | 4.2% |
| Other values (50) | 4315 |
| Value | Count | Frequency (%) |
| 1357 | 11.4% | |
| r | 980 | 8.3% |
| e | 814 | 6.9% |
| a | 805 | 6.8% |
| s | 657 | 5.5% |
| n | 647 | 5.5% |
| i | 634 | 5.3% |
| M | 551 | 4.6% |
| l | 527 | 4.4% |
| o | 506 | 4.3% |
| Other values (49) | 4375 |
Sex
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| male | |
|---|---|
| female |
| male | |
|---|---|
| female |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 6 | 6 |
| Median length | 4 | 4 |
| Mean length | 4.67713 | 4.6502242 |
| Min length | 4 | 4 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | male | male |
| 2nd row | female | male |
| 3rd row | female | female |
| 4th row | male | male |
| 5th row | male | male |
Common Values
| Value | Count | Frequency (%) |
| male | 295 | |
| female | 151 |
| Value | Count | Frequency (%) |
| male | 301 | |
| female | 145 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| male | 295 | |
| female | 151 |
| Value | Count | Frequency (%) |
| male | 301 | |
| female | 145 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 597 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 151 | 7.2% |
| Value | Count | Frequency (%) |
| e | 591 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 145 | 7.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2086 |
| Value | Count | Frequency (%) |
| (unknown) | 2074 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 597 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 151 | 7.2% |
| Value | Count | Frequency (%) |
| e | 591 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 145 | 7.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2086 |
| Value | Count | Frequency (%) |
| (unknown) | 2074 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 597 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 151 | 7.2% |
| Value | Count | Frequency (%) |
| e | 591 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 145 | 7.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2086 |
| Value | Count | Frequency (%) |
| (unknown) | 2074 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 597 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 151 | 7.2% |
| Value | Count | Frequency (%) |
| e | 591 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 145 | 7.0% |
Age
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 75 | 75 |
| Distinct (%) | 20.5% | 20.7% |
| Missing | 80 | 84 |
| Missing (%) | 17.9% | 18.8% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 29.393224 | 30.265663 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.42 | 0.42 |
| Maximum | 80 | 80 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.42 | 0.42 |
| 5-th percentile | 3 | 4 |
| Q1 | 21 | 20.125 |
| median | 28 | 28 |
| Q3 | 38 | 39 |
| 95-th percentile | 54 | 60 |
| Maximum | 80 | 80 |
| Range | 79.58 | 79.58 |
| Interquartile range (IQR) | 17 | 18.875 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 14.549416 | 15.384181 |
| Coefficient of variation (CV) | 0.49499218 | 0.50830478 |
| Kurtosis | 0.3030229 | 0.23584033 |
| Mean | 29.393224 | 30.265663 |
| Median Absolute Deviation (MAD) | 8 | 9 |
| Skewness | 0.31109356 | 0.55417231 |
| Sum | 10757.92 | 10956.17 |
| Variance | 211.6855 | 236.67303 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24 | 18 | 4.0% |
| 19 | 14 | 3.1% |
| 26 | 13 | 2.9% |
| 21 | 13 | 2.9% |
| 35 | 12 | 2.7% |
| 36 | 12 | 2.7% |
| 25 | 12 | 2.7% |
| 27 | 12 | 2.7% |
| 28 | 12 | 2.7% |
| 32 | 11 | 2.5% |
| Other values (65) | 237 | |
| (Missing) | 80 | 17.9% |
| Value | Count | Frequency (%) |
| 21 | 19 | 4.3% |
| 24 | 17 | 3.8% |
| 16 | 14 | 3.1% |
| 36 | 13 | 2.9% |
| 19 | 13 | 2.9% |
| 22 | 13 | 2.9% |
| 30 | 12 | 2.7% |
| 29 | 12 | 2.7% |
| 20 | 11 | 2.5% |
| 25 | 11 | 2.5% |
| Other values (65) | 227 | |
| (Missing) | 84 | 18.8% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.67 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 2 | 0.4% |
| 0.92 | 1 | 0.2% |
| 1 | 5 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | 0.4% |
| 6 | 1 | 0.2% |
| 8 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 4 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | 0.4% |
| 6 | 1 | 0.2% |
| 8 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.2% |
| 0.67 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 2 | 0.4% |
| 0.92 | 1 | 0.2% |
| 1 | 5 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 2 | 0.4% |
SibSp
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 1.6% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.51569507 | 0.5 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 8 | 8 |
| Zeros | 308 | 309 |
| Zeros (%) | 69.1% | 69.3% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 1 | 1 |
| 95-th percentile | 2.75 | 2 |
| Maximum | 8 | 8 |
| Range | 8 | 8 |
| Interquartile range (IQR) | 1 | 1 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 1.1090943 | 1.0721186 |
| Coefficient of variation (CV) | 2.1506785 | 2.1442371 |
| Kurtosis | 19.144275 | 18.487441 |
| Mean | 0.51569507 | 0.5 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 3.8120982 | 3.7477367 |
| Sum | 230 | 223 |
| Variance | 1.2300902 | 1.1494382 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 100 | 22.4% |
| 2 | 15 | 3.4% |
| 3 | 9 | 2.0% |
| 4 | 9 | 2.0% |
| 8 | 4 | 0.9% |
| 5 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 309 | |
| 1 | 102 | 22.9% |
| 2 | 13 | 2.9% |
| 3 | 9 | 2.0% |
| 4 | 6 | 1.3% |
| 5 | 4 | 0.9% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 100 | 22.4% |
| 2 | 15 | 3.4% |
| 3 | 9 | 2.0% |
| 4 | 9 | 2.0% |
| 5 | 1 | 0.2% |
| 8 | 4 | 0.9% |
| Value | Count | Frequency (%) |
| 0 | 309 | |
| 1 | 102 | 22.9% |
| 2 | 13 | 2.9% |
| 3 | 9 | 2.0% |
| 4 | 6 | 1.3% |
| 5 | 4 | 0.9% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 309 | |
| 1 | 102 | 22.9% |
| 2 | 13 | 2.9% |
| 3 | 9 | 2.0% |
| 4 | 6 | 1.3% |
| 5 | 4 | 0.9% |
| 8 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 308 | |
| 1 | 100 | 22.4% |
| 2 | 15 | 3.4% |
| 3 | 9 | 2.0% |
| 4 | 9 | 2.0% |
| 5 | 1 | 0.2% |
| 8 | 4 | 0.9% |
Parch
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 5 | 7 |
| Distinct (%) | 1.1% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 5 | 3 |
| 3 | 1 |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 3 | 4 |
| 5 | 2 |
| Other values (2) | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 1 | 2 ? |
| Unique (%) | 0.2% | 0.4% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 2 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 59 | 13.2% |
| 2 | 40 | 9.0% |
| 5 | 3 | 0.7% |
| 3 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 340 | |
| 1 | 54 | 12.1% |
| 2 | 44 | 9.9% |
| 3 | 4 | 0.9% |
| 5 | 2 | 0.4% |
| 4 | 1 | 0.2% |
| 6 | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 59 | 13.2% |
| 2 | 40 | 9.0% |
| 5 | 3 | 0.7% |
| 3 | 1 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 59 | 13.2% |
| 2 | 40 | 9.0% |
| 5 | 3 | 0.7% |
| 3 | 1 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 59 | 13.2% |
| 2 | 40 | 9.0% |
| 5 | 3 | 0.7% |
| 3 | 1 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 59 | 13.2% |
| 2 | 40 | 9.0% |
| 5 | 3 | 0.7% |
| 3 | 1 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 343 | |
| 1 | 59 | 13.2% |
| 2 | 40 | 9.0% |
| 5 | 3 | 0.7% |
| 3 | 1 | 0.2% |
Ticket
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 385 | 383 |
| Distinct (%) | 86.3% | 85.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 18 | 18 |
| Median length | 17 | 17 |
| Mean length | 6.7443946 | 6.7376682 |
| Min length | 3 | 3 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 340 | 331 ? |
| Unique (%) | 76.2% | 74.2% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 2663 | PC 17760 |
| 2nd row | 315153 | 7534 |
| 3rd row | P/PP 3381 | 350407 |
| 4th row | 230136 | 347466 |
| 5th row | 65303 | 111426 |
| Value | Count | Frequency (%) |
| pc | 34 | 6.0% |
| a/5 | 11 | 2.0% |
| c.a | 9 | 1.6% |
| 3101295 | 5 | 0.9% |
| ca | 5 | 0.9% |
| soton/o.q | 5 | 0.9% |
| soton/oq | 5 | 0.9% |
| ston/o | 4 | 0.7% |
| 2 | 4 | 0.7% |
| sc/paris | 4 | 0.7% |
| Other values (408) | 477 |
| Value | Count | Frequency (%) |
| pc | 29 | 5.1% |
| c.a | 11 | 1.9% |
| a/5 | 11 | 1.9% |
| ca | 9 | 1.6% |
| 2 | 8 | 1.4% |
| ston/o | 8 | 1.4% |
| w./c | 7 | 1.2% |
| a/4 | 5 | 0.9% |
| 2144 | 5 | 0.9% |
| soton/oq | 4 | 0.7% |
| Other values (401) | 474 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 380 | |
| 1 | 344 | |
| 2 | 296 | |
| 7 | 232 | 7.7% |
| 4 | 225 | 7.5% |
| 6 | 213 | 7.1% |
| 5 | 208 | 6.9% |
| 0 | 198 | 6.6% |
| 9 | 176 | 5.9% |
| 8 | 135 | 4.5% |
| Other values (21) | 601 |
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 341 | |
| 2 | 315 | |
| 7 | 242 | |
| 4 | 239 | 8.0% |
| 0 | 212 | 7.1% |
| 6 | 198 | 6.6% |
| 5 | 195 | 6.5% |
| 9 | 151 | 5.0% |
| 8 | 138 | 4.6% |
| Other values (25) | 601 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 3008 |
| Value | Count | Frequency (%) |
| (unknown) | 3005 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 380 | |
| 1 | 344 | |
| 2 | 296 | |
| 7 | 232 | 7.7% |
| 4 | 225 | 7.5% |
| 6 | 213 | 7.1% |
| 5 | 208 | 6.9% |
| 0 | 198 | 6.6% |
| 9 | 176 | 5.9% |
| 8 | 135 | 4.5% |
| Other values (21) | 601 |
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 341 | |
| 2 | 315 | |
| 7 | 242 | |
| 4 | 239 | 8.0% |
| 0 | 212 | 7.1% |
| 6 | 198 | 6.6% |
| 5 | 195 | 6.5% |
| 9 | 151 | 5.0% |
| 8 | 138 | 4.6% |
| Other values (25) | 601 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 3008 |
| Value | Count | Frequency (%) |
| (unknown) | 3005 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 380 | |
| 1 | 344 | |
| 2 | 296 | |
| 7 | 232 | 7.7% |
| 4 | 225 | 7.5% |
| 6 | 213 | 7.1% |
| 5 | 208 | 6.9% |
| 0 | 198 | 6.6% |
| 9 | 176 | 5.9% |
| 8 | 135 | 4.5% |
| Other values (21) | 601 |
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 341 | |
| 2 | 315 | |
| 7 | 242 | |
| 4 | 239 | 8.0% |
| 0 | 212 | 7.1% |
| 6 | 198 | 6.6% |
| 5 | 195 | 6.5% |
| 9 | 151 | 5.0% |
| 8 | 138 | 4.6% |
| Other values (25) | 601 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 3008 |
| Value | Count | Frequency (%) |
| (unknown) | 3005 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 380 | |
| 1 | 344 | |
| 2 | 296 | |
| 7 | 232 | 7.7% |
| 4 | 225 | 7.5% |
| 6 | 213 | 7.1% |
| 5 | 208 | 6.9% |
| 0 | 198 | 6.6% |
| 9 | 176 | 5.9% |
| 8 | 135 | 4.5% |
| Other values (21) | 601 |
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 341 | |
| 2 | 315 | |
| 7 | 242 | |
| 4 | 239 | 8.0% |
| 0 | 212 | 7.1% |
| 6 | 198 | 6.6% |
| 5 | 195 | 6.5% |
| 9 | 151 | 5.0% |
| 8 | 138 | 4.6% |
| Other values (25) | 601 |
Fare
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 176 | 186 |
| Distinct (%) | 39.5% | 41.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 33.968955 | 32.567806 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 512.3292 | 512.3292 |
| Zeros | 10 | 6 |
| Zeros (%) | 2.2% | 1.3% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 7.162525 | 7.225 |
| Q1 | 7.8958 | 7.8958 |
| median | 14.4542 | 13.64585 |
| Q3 | 30.3927 | 30.5 |
| 95-th percentile | 120 | 118.31875 |
| Maximum | 512.3292 | 512.3292 |
| Range | 512.3292 | 512.3292 |
| Interquartile range (IQR) | 22.4969 | 22.6042 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 57.88634 | 53.178015 |
| Coefficient of variation (CV) | 1.7040954 | 1.63284 |
| Kurtosis | 32.795923 | 33.039693 |
| Mean | 33.968955 | 32.567806 |
| Median Absolute Deviation (MAD) | 6.7667 | 6.39585 |
| Skewness | 4.9749464 | 4.8821254 |
| Sum | 15150.154 | 14525.241 |
| Variance | 3350.8284 | 2827.9013 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8.05 | 26 | 5.8% |
| 7.8958 | 22 | 4.9% |
| 13 | 19 | 4.3% |
| 26 | 15 | 3.4% |
| 7.75 | 14 | 3.1% |
| 10.5 | 14 | 3.1% |
| 0 | 10 | 2.2% |
| 26.55 | 10 | 2.2% |
| 8.6625 | 9 | 2.0% |
| 7.25 | 9 | 2.0% |
| Other values (166) | 298 |
| Value | Count | Frequency (%) |
| 8.05 | 21 | 4.7% |
| 7.8958 | 20 | 4.5% |
| 13 | 19 | 4.3% |
| 26 | 18 | 4.0% |
| 7.75 | 13 | 2.9% |
| 10.5 | 12 | 2.7% |
| 7.775 | 11 | 2.5% |
| 7.925 | 10 | 2.2% |
| 7.8542 | 8 | 1.8% |
| 26.55 | 8 | 1.8% |
| Other values (176) | 306 |
| Value | Count | Frequency (%) |
| 0 | 10 | |
| 6.45 | 1 | 0.2% |
| 6.4958 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.05 | 4 | 0.9% |
| 7.0542 | 1 | 0.2% |
| 7.125 | 4 | 0.9% |
| 7.1417 | 1 | 0.2% |
| 7.225 | 4 | 0.9% |
| 7.2292 | 8 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 6.2375 | 1 | 0.2% |
| 6.75 | 2 | 0.4% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.0458 | 1 | 0.2% |
| 7.05 | 3 | |
| 7.0542 | 1 | 0.2% |
| 7.125 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 6.2375 | 1 | 0.2% |
| 6.75 | 2 | 0.4% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.0458 | 1 | 0.2% |
| 7.05 | 3 | |
| 7.0542 | 1 | 0.2% |
| 7.125 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 10 | |
| 6.45 | 1 | 0.2% |
| 6.4958 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.05 | 4 | 0.9% |
| 7.0542 | 1 | 0.2% |
| 7.125 | 4 | 0.9% |
| 7.1417 | 1 | 0.2% |
| 7.225 | 4 | 0.9% |
| 7.2292 | 8 |
Cabin
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 82 | 82 |
| Distinct (%) | 87.2% | 86.3% |
| Missing | 352 | 351 |
| Missing (%) | 78.9% | 78.7% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 11 | 15 |
| Median length | 3 | 3 |
| Mean length | 3.7659574 | 3.6736842 |
| Min length | 2 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 72 | 71 ? |
| Unique (%) | 76.6% | 74.7% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | F4 | C87 |
| 2nd row | C23 C25 C27 | C23 C25 C27 |
| 3rd row | B38 | E44 |
| 4th row | C70 | D37 |
| 5th row | A5 | B94 |
| Value | Count | Frequency (%) |
| c23 | 3 | 2.7% |
| c25 | 3 | 2.7% |
| c27 | 3 | 2.7% |
| b96 | 3 | 2.7% |
| b98 | 3 | 2.7% |
| f | 3 | 2.7% |
| b58 | 2 | 1.8% |
| c124 | 2 | 1.8% |
| d20 | 2 | 1.8% |
| d33 | 2 | 1.8% |
| Other values (81) | 87 |
| Value | Count | Frequency (%) |
| g6 | 3 | 2.6% |
| e101 | 3 | 2.6% |
| b96 | 2 | 1.8% |
| b98 | 2 | 1.8% |
| e25 | 2 | 1.8% |
| f33 | 2 | 1.8% |
| b28 | 2 | 1.8% |
| e67 | 2 | 1.8% |
| d26 | 2 | 1.8% |
| c23 | 2 | 1.8% |
| Other values (83) | 92 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 39 | |
| C | 35 | 9.9% |
| B | 31 | 8.8% |
| 3 | 29 | 8.2% |
| 1 | 29 | 8.2% |
| 8 | 23 | 6.5% |
| 5 | 21 | 5.9% |
| 19 | 5.4% | |
| 0 | 19 | 5.4% |
| 6 | 17 | 4.8% |
| Other values (8) | 92 |
| Value | Count | Frequency (%) |
| B | 34 | 9.7% |
| 6 | 31 | 8.9% |
| C | 30 | 8.6% |
| 2 | 30 | 8.6% |
| 1 | 27 | 7.7% |
| 5 | 26 | 7.4% |
| 3 | 25 | 7.2% |
| 7 | 19 | 5.4% |
| 19 | 5.4% | |
| D | 17 | 4.9% |
| Other values (8) | 91 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 354 |
| Value | Count | Frequency (%) |
| (unknown) | 349 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 2 | 39 | |
| C | 35 | 9.9% |
| B | 31 | 8.8% |
| 3 | 29 | 8.2% |
| 1 | 29 | 8.2% |
| 8 | 23 | 6.5% |
| 5 | 21 | 5.9% |
| 19 | 5.4% | |
| 0 | 19 | 5.4% |
| 6 | 17 | 4.8% |
| Other values (8) | 92 |
| Value | Count | Frequency (%) |
| B | 34 | 9.7% |
| 6 | 31 | 8.9% |
| C | 30 | 8.6% |
| 2 | 30 | 8.6% |
| 1 | 27 | 7.7% |
| 5 | 26 | 7.4% |
| 3 | 25 | 7.2% |
| 7 | 19 | 5.4% |
| 19 | 5.4% | |
| D | 17 | 4.9% |
| Other values (8) | 91 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 354 |
| Value | Count | Frequency (%) |
| (unknown) | 349 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 2 | 39 | |
| C | 35 | 9.9% |
| B | 31 | 8.8% |
| 3 | 29 | 8.2% |
| 1 | 29 | 8.2% |
| 8 | 23 | 6.5% |
| 5 | 21 | 5.9% |
| 19 | 5.4% | |
| 0 | 19 | 5.4% |
| 6 | 17 | 4.8% |
| Other values (8) | 92 |
| Value | Count | Frequency (%) |
| B | 34 | 9.7% |
| 6 | 31 | 8.9% |
| C | 30 | 8.6% |
| 2 | 30 | 8.6% |
| 1 | 27 | 7.7% |
| 5 | 26 | 7.4% |
| 3 | 25 | 7.2% |
| 7 | 19 | 5.4% |
| 19 | 5.4% | |
| D | 17 | 4.9% |
| Other values (8) | 91 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 354 |
| Value | Count | Frequency (%) |
| (unknown) | 349 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 2 | 39 | |
| C | 35 | 9.9% |
| B | 31 | 8.8% |
| 3 | 29 | 8.2% |
| 1 | 29 | 8.2% |
| 8 | 23 | 6.5% |
| 5 | 21 | 5.9% |
| 19 | 5.4% | |
| 0 | 19 | 5.4% |
| 6 | 17 | 4.8% |
| Other values (8) | 92 |
| Value | Count | Frequency (%) |
| B | 34 | 9.7% |
| 6 | 31 | 8.9% |
| C | 30 | 8.6% |
| 2 | 30 | 8.6% |
| 1 | 27 | 7.7% |
| 5 | 26 | 7.4% |
| 3 | 25 | 7.2% |
| 7 | 19 | 5.4% |
| 19 | 5.4% | |
| D | 17 | 4.9% |
| Other values (8) | 91 |
Embarked
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 1 | 2 |
| Missing (%) | 0.2% | 0.4% |
| Memory size | 7.0 KiB | 7.0 KiB |
| S | |
|---|---|
| C | |
| Q |
| S | |
|---|---|
| C | |
| Q |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | C | C |
| 2nd row | S | S |
| 3rd row | C | S |
| 4th row | S | S |
| 5th row | S | C |
Common Values
| Value | Count | Frequency (%) |
| S | 316 | |
| C | 94 | 21.1% |
| Q | 35 | 7.8% |
| (Missing) | 1 | 0.2% |
| Value | Count | Frequency (%) |
| S | 327 | |
| C | 82 | 18.4% |
| Q | 35 | 7.8% |
| (Missing) | 2 | 0.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| s | 316 | |
| c | 94 | 21.1% |
| q | 35 | 7.9% |
| Value | Count | Frequency (%) |
| s | 327 | |
| c | 82 | 18.5% |
| q | 35 | 7.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 316 | |
| C | 94 | 21.1% |
| Q | 35 | 7.9% |
| Value | Count | Frequency (%) |
| S | 327 | |
| C | 82 | 18.5% |
| Q | 35 | 7.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 444 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| S | 316 | |
| C | 94 | 21.1% |
| Q | 35 | 7.9% |
| Value | Count | Frequency (%) |
| S | 327 | |
| C | 82 | 18.5% |
| Q | 35 | 7.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 444 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| S | 316 | |
| C | 94 | 21.1% |
| Q | 35 | 7.9% |
| Value | Count | Frequency (%) |
| S | 327 | |
| C | 82 | 18.5% |
| Q | 35 | 7.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 444 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| S | 316 | |
| C | 94 | 21.1% |
| Q | 35 | 7.9% |
| Value | Count | Frequency (%) |
| S | 327 | |
| C | 82 | 18.5% |
| Q | 35 | 7.9% |
Interactions
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Dataset A
Interaction plot not present for dataset
Dataset B
Correlations
Dataset A
Dataset B
Dataset A
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.058 | 0.092 | 0.268 | 0.004 | 0.260 | 0.097 | -0.244 | 0.184 |
| Embarked | 0.058 | 1.000 | 0.212 | 0.094 | 0.000 | 0.275 | 0.160 | 0.065 | 0.146 |
| Fare | 0.092 | 0.212 | 1.000 | 0.140 | -0.034 | 0.468 | 0.160 | 0.445 | 0.298 |
| Parch | 0.268 | 0.094 | 0.140 | 1.000 | 0.000 | 0.049 | 0.302 | 0.270 | 0.224 |
| PassengerId | 0.004 | 0.000 | -0.034 | 0.000 | 1.000 | 0.007 | 0.080 | -0.093 | 0.125 |
| Pclass | 0.260 | 0.275 | 0.468 | 0.049 | 0.007 | 1.000 | 0.054 | 0.135 | 0.334 |
| Sex | 0.097 | 0.160 | 0.160 | 0.302 | 0.080 | 0.054 | 1.000 | 0.265 | 0.477 |
| SibSp | -0.244 | 0.065 | 0.445 | 0.270 | -0.093 | 0.135 | 0.265 | 1.000 | 0.231 |
| Survived | 0.184 | 0.146 | 0.298 | 0.224 | 0.125 | 0.334 | 0.477 | 0.231 | 1.000 |
Dataset B
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.142 | 0.157 | -0.185 | 0.025 | 0.291 | 0.089 | -0.216 | 0.094 |
| Embarked | 0.142 | 1.000 | 0.202 | 0.000 | 0.000 | 0.257 | 0.092 | 0.000 | 0.175 |
| Fare | 0.157 | 0.202 | 1.000 | 0.432 | 0.048 | 0.454 | 0.200 | 0.415 | 0.234 |
| Parch | -0.185 | 0.000 | 0.432 | 1.000 | 0.007 | 0.052 | 0.240 | 0.501 | 0.047 |
| PassengerId | 0.025 | 0.000 | 0.048 | 0.007 | 1.000 | 0.000 | 0.070 | 0.020 | 0.075 |
| Pclass | 0.291 | 0.257 | 0.454 | 0.052 | 0.000 | 1.000 | 0.138 | 0.102 | 0.325 |
| Sex | 0.089 | 0.092 | 0.200 | 0.240 | 0.070 | 0.138 | 1.000 | 0.196 | 0.550 |
| SibSp | -0.216 | 0.000 | 0.415 | 0.501 | 0.020 | 0.102 | 0.196 | 1.000 | 0.128 |
| Survived | 0.094 | 0.175 | 0.234 | 0.047 | 0.075 | 0.325 | 0.550 | 0.128 | 1.000 |
Missing values
Dataset A
A simple visualization of nullity by column.
Dataset B
A simple visualization of nullity by column.
Dataset A
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset B
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset A
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Dataset B
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Sample
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 762 | 763 | 1 | 3 | Barah, Mr. Hanna Assi | male | 20.0 | 0 | 0 | 2663 | 7.2292 | NaN | C |
| 184 | 185 | 1 | 3 | Kink-Heilmann, Miss. Luise Gretchen | female | 4.0 | 0 | 2 | 315153 | 22.0250 | NaN | S |
| 874 | 875 | 1 | 2 | Abelson, Mrs. Samuel (Hannah Wizosky) | female | 28.0 | 1 | 0 | P/PP 3381 | 24.0000 | NaN | C |
| 183 | 184 | 1 | 2 | Becker, Master. Richard F | male | 1.0 | 2 | 1 | 230136 | 39.0000 | F4 | S |
| 451 | 452 | 0 | 3 | Hagland, Mr. Ingvald Olai Olsen | male | NaN | 1 | 0 | 65303 | 19.9667 | NaN | S |
| 34 | 35 | 0 | 1 | Meyer, Mr. Edgar Joseph | male | 28.0 | 1 | 0 | PC 17604 | 82.1708 | NaN | C |
| 793 | 794 | 0 | 1 | Hoyt, Mr. William Fisher | male | NaN | 0 | 0 | PC 17600 | 30.6958 | NaN | C |
| 189 | 190 | 0 | 3 | Turcin, Mr. Stjepan | male | 36.0 | 0 | 0 | 349247 | 7.8958 | NaN | S |
| 792 | 793 | 0 | 3 | Sage, Miss. Stella Anna | female | NaN | 8 | 2 | CA. 2343 | 69.5500 | NaN | S |
| 474 | 475 | 0 | 3 | Strandberg, Miss. Ida Sofia | female | 22.0 | 0 | 0 | 7553 | 9.8375 | NaN | S |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 373 | 374 | 0 | 1 | Ringhini, Mr. Sante | male | 22.0 | 0 | 0 | PC 17760 | 135.6333 | NaN | C |
| 138 | 139 | 0 | 3 | Osen, Mr. Olaf Elon | male | 16.0 | 0 | 0 | 7534 | 9.2167 | NaN | S |
| 396 | 397 | 0 | 3 | Olsson, Miss. Elina | female | 31.0 | 0 | 0 | 350407 | 7.8542 | NaN | S |
| 91 | 92 | 0 | 3 | Andreasson, Mr. Paul Edvin | male | 20.0 | 0 | 0 | 347466 | 7.8542 | NaN | S |
| 604 | 605 | 1 | 1 | Homer, Mr. Harry ("Mr E Haven") | male | 35.0 | 0 | 0 | 111426 | 26.5500 | NaN | C |
| 252 | 253 | 0 | 1 | Stead, Mr. William Thomas | male | 62.0 | 0 | 0 | 113514 | 26.5500 | C87 | S |
| 94 | 95 | 0 | 3 | Coxon, Mr. Daniel | male | 59.0 | 0 | 0 | 364500 | 7.2500 | NaN | S |
| 787 | 788 | 0 | 3 | Rice, Master. George Hugh | male | 8.0 | 4 | 1 | 382652 | 29.1250 | NaN | Q |
| 282 | 283 | 0 | 3 | de Pelsmaeker, Mr. Alfons | male | 16.0 | 0 | 0 | 345778 | 9.5000 | NaN | S |
| 882 | 883 | 0 | 3 | Dahlberg, Miss. Gerda Ulrika | female | 22.0 | 0 | 0 | 7552 | 10.5167 | NaN | S |
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 760 | 761 | 0 | 3 | Garfirth, Mr. John | male | NaN | 0 | 0 | 358585 | 14.5000 | NaN | S |
| 696 | 697 | 0 | 3 | Kelly, Mr. James | male | 44.0 | 0 | 0 | 363592 | 8.0500 | NaN | S |
| 551 | 552 | 0 | 2 | Sharp, Mr. Percival James R | male | 27.0 | 0 | 0 | 244358 | 26.0000 | NaN | S |
| 822 | 823 | 0 | 1 | Reuchlin, Jonkheer. John George | male | 38.0 | 0 | 0 | 19972 | 0.0000 | NaN | S |
| 578 | 579 | 0 | 3 | Caram, Mrs. Joseph (Maria Elias) | female | NaN | 1 | 0 | 2689 | 14.4583 | NaN | C |
| 485 | 486 | 0 | 3 | Lefebre, Miss. Jeannie | female | NaN | 3 | 1 | 4133 | 25.4667 | NaN | S |
| 179 | 180 | 0 | 3 | Leonard, Mr. Lionel | male | 36.0 | 0 | 0 | LINE | 0.0000 | NaN | S |
| 544 | 545 | 0 | 1 | Douglas, Mr. Walter Donald | male | 50.0 | 1 | 0 | PC 17761 | 106.4250 | C86 | C |
| 645 | 646 | 1 | 1 | Harper, Mr. Henry Sleeper | male | 48.0 | 1 | 0 | PC 17572 | 76.7292 | D33 | C |
| 61 | 62 | 1 | 1 | Icard, Miss. Amelie | female | 38.0 | 0 | 0 | 113572 | 80.0000 | B28 | NaN |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 643 | 644 | 1 | 3 | Foo, Mr. Choong | male | NaN | 0 | 0 | 1601 | 56.4958 | NaN | S |
| 419 | 420 | 0 | 3 | Van Impe, Miss. Catharina | female | 10.0 | 0 | 2 | 345773 | 24.1500 | NaN | S |
| 476 | 477 | 0 | 2 | Renouf, Mr. Peter Henry | male | 34.0 | 1 | 0 | 31027 | 21.0000 | NaN | S |
| 275 | 276 | 1 | 1 | Andrews, Miss. Kornelia Theodosia | female | 63.0 | 1 | 0 | 13502 | 77.9583 | D7 | S |
| 375 | 376 | 1 | 1 | Meyer, Mrs. Edgar Joseph (Leila Saks) | female | NaN | 1 | 0 | PC 17604 | 82.1708 | NaN | C |
| 485 | 486 | 0 | 3 | Lefebre, Miss. Jeannie | female | NaN | 3 | 1 | 4133 | 25.4667 | NaN | S |
| 136 | 137 | 1 | 1 | Newsom, Miss. Helen Monypeny | female | 19.0 | 0 | 2 | 11752 | 26.2833 | D47 | S |
| 454 | 455 | 0 | 3 | Peduzzi, Mr. Joseph | male | NaN | 0 | 0 | A/5 2817 | 8.0500 | NaN | S |
| 829 | 830 | 1 | 1 | Stone, Mrs. George Nelson (Martha Evelyn) | female | 62.0 | 0 | 0 | 113572 | 80.0000 | B28 | NaN |
| 629 | 630 | 0 | 3 | O'Connell, Mr. Patrick D | male | NaN | 0 | 0 | 334912 | 7.7333 | NaN | Q |
Duplicate rows
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||